Big Data allows the hospitality industry to take better control of their business. Furthermore insights from Big Data enable them to drive profit

When it comes to adopting technology as well as evolution driven by data, the hospitality industry is known to lag behind. Only recently that the industry are learning that there are gaps that should be filled, gaps which exist since they could not possibly be foreseen or controlled. Today, Big Data allows the hospitality industry to take better control of their business. Furthermore, insights from Big Data enable them to drive profits and lower costs faster and easily so they could go back to doing what they love.

Here are some hospitality industry benefits from the emergence of big data:

1. Big Data enables the hospitality industry to take better control of their business. Moreover, Big Data insights allow them to lower costs and drive profits quickly and easily so they can go back to doing what they love.

2. With Big Data and analytics savvy hotels could target their best repeat clients. Moreover, they provide extra promotions and incentives while creating perks that help boost a business.

3. Big Data analytics are valuable in helping hotels set the best prices for their rooms. The kind of optimization further extends other services that the hospitality industry provides.

4. Big Data and analytics can be used to segment guests according to behavior, booking trends and other factors to reveal the chance to respond to promotions. It is important for hoteliers to understand guest preferences and more.

5. The hospitality industry caters to millions of people daily. Big Data is the key to get the hospitality sector convince customers to return and avail of their services again and again.

The hospitality sector caters to millions of people on a daily basis. Meeting the expectations of these people is the key to getting them to return and avail of their services again and again. With customer data all gathered in a single place wherein it is easier to paint and see the huge picture, hotels could make better informed decisions when it comes to marketing and customer service. Through using analytics, savvy hotel chains could target their best repeat clients with extra promotions as well as incentives, while building perks and separate deals that do not visit as often, with the hopes of boosting their business.

Big Data analytics are valuable in helping hotels set the best prices for their rooms, keeping competitive costs and yet attractive to a would-be-guest. The sort of optimization further extends other services that hotels provide, like restaurants, function room rentals and catering. The benefits extend beyond customer relations and seep even into areas like day-to-day operations. Big Data could help restaurants, hotels and other hospitality-driven businesses in saving money on utilities through analyzing things such as energy rates and weather data for example. Information technology operations help in monitoring the IT environment of a hotel, looking out for service breakdowns that could end up losing business by missed bookings.

The hotel industry is one where effective use of analytics could dramatically change how a business is run. It is another data rich field which captures big volumes of data of various kinds, including audio, video and web data. For most hoteliers however, data stays an underused and under-appreciated asset. For instance, hoteliers capture loyalty information, but few go beyond loyalty tier on the way they view and take action with guests consistently. With analytical data exploitation, hoteliers could go beyond the traditional loyalty programs and also deepen their knowledge of guests to develop a more granular comprehension of segment behavior, expectations and needs.

Big data and analytics could be used to segment guests in accordance to booking trends, behavior and other factors to reveal the chance of responding to promotions and emerging travel trends as well. It is of vital importance for hoteliers to understand guest preferences, time of year, duration of stay, purchase behavior and profit potential to boost the brand loyalty and wallet share of the most valued guests. Focusing on the wrong guests reduces profitability across the industry. Big Data and Analytics has applications in all areas in the industry. While the hospitality sector has lagged behind others, like manufacturing and retail in adopting an analytics-first philosophy, this could be starting to change very soon.

Author

Ritesh Mehta works as a senior Technical Account Manager in a software development company named TatvaSoft Australia based in Melbourne. He specializes in Agile Scrum methodology, Marketing Ops (MRM) application development, SAAS & SOA application development, Offshore & Vendor team management. Also, he is knowledgeable and well-experienced in conducting Big Data analytics, business analysis, product development, team management and client relationship management.